gitlab-runner VS git-lfs

#!/bin/bash # ### Script to initialize a GitLab runner on an existing AWS EC2 instance with NVME disk(s) # # - script is not interactive (can be run as user_data) # - will reboot at the end to perform NVME mounting # - first NVME disk will be used for GitLab custom cache # - last NVME disk will be used for Docker data (if only one NVME, the same will be used without problem) # - robust: on each reboot and stop/start, disks are mounted again (but data may be lost if stop and then start after a few minutes) # - runner is tagged with multiple instance data (public dns, IP, instance type...) # - works with a single spot instance # - should work even with multiple ones in a fleet, with same user_data (not tested for now) # # /!\ There is no prerequisite, except these needed variables : MAINTAINER=zenika RUNNER_NAME="majestic-runner" GITLAB_URL=https://gitlab.com/ GITLAB_TOKEN=XXXX # prepare docker (re)install sudo apt-get -y install apt-transport-https ca-certificates curl gnupg lsb-release sysstat curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list >/dev/null sudo apt-get update # needed to use the docker.list # install gitlab runner curl -L "https://packages.gitlab.com/install/repositories/runner/gitlab-runner/script.deb.sh" | sudo bash sudo apt-get -y install gitlab-runner # create NVME initializer script cat </home/ubuntu/nvme-initializer.sh #!/bin/bash # # To be run on each fresh start, since NVME disks are ephemeral # so first start, start after stop, but not on reboot # inspired by https://stackoverflow.com/questions/45167717/mounting-a-nvme-disk-on-aws-ec2 # date | tee -a /home/ubuntu/nvme-initializer.log ### Handle NVME disks # get NVME disks bigger than 100Go (some small size disk may be there for root, depending on server type) NVME_DISK_LIST=\$(lsblk -b --output=NAME,SIZE | grep "^nvme" | awk '{if(\$2>100000000000)print\$1}' | sort) echo "NVME disks are: \$NVME_DISK_LIST" | tee -a /home/ubuntu/nvme-initializer.log # there may be 1 or 2 NVME disks, then we split (or not) the mounts between GitLab custom cache and Docker data export NVME_GITLAB=\$(echo "\$NVME_DISK_LIST" | head -n 1) export NVME_DOCKER=\$(echo "\$NVME_DISK_LIST" | tail -n 1) echo "NVME_GITLAB=\$NVME_GITLAB and NVME_DOCKER=\$NVME_DOCKER" | tee -a /home/ubuntu/nvme-initializer.log # format disks if not sudo mkfs -t xfs /dev/\$NVME_GITLAB | tee -a /home/ubuntu/nvme-initializer.log || echo "\$NVME_GITLAB already formatted" # this may already be done sudo mkfs -t xfs /dev/\$NVME_DOCKER | tee -a /home/ubuntu/nvme-initializer.log || echo "\$NVME_DOCKER already formatted" # disk may be the same, then already formated by previous command # mount on /gitlab-host/ and /var/lib/docker/ sudo mkdir -p /gitlab sudo mount /dev/\$NVME_GITLAB /gitlab | tee -a /home/ubuntu/nvme-initializer.log sudo mkdir -p /gitlab/custom-cache sudo mkdir -p /var/lib/docker sudo mount /dev/\$NVME_DOCKER /var/lib/docker | tee -a /home/ubuntu/nvme-initializer.log ### reinstall Docker (which data may have been wiped out) # docker (re)install sudo apt-get -y reinstall docker-ce docker-ce-cli containerd.io docker-compose-plugin | tee -a /home/ubuntu/nvme-initializer.log echo "NVME initialization succesful" | tee -a /home/ubuntu/nvme-initializer.log EOF # set NVME initializer script as startup script sudo tee /etc/systemd/system/nvme-initializer.service >/dev/null <

GitLab team member here, thanks for sharing.

> Still not a big fan of how stiff Yaml pipelines feel in Gitlab CI

Maybe the pipeline editor in "Build > Pipeline editor" can help with live linting, or more advanced features such as parent-child pipelines or merge trains.

If you need tips for optimizing the CI/CD pipeline, suggest following these tips in the docs https://docs.gitlab.com/ee/ci/pipelines/pipeline_efficiency.... or a few more tips in my recent talk "Efficient DevSecOps pipelines in cloud-native world", slides from Chemnitz Linux Days 2023 in https://docs.google.com/presentation/d/1_kyGo_cWi5dKyxi3BfYj...

> and that tickets for what seems like a simple feature [1] hang around for years, but it is nice.

Thanks for sharing. (FYI for everyone) The linked issue suggests a Docker cache cleanup script, which might be helpful. https://gitlab.com/gitlab-org/gitlab-runner/-/issues/27332#n... -> https://docs.gitlab.com/runner/executors/docker.html#clear-t...

If only competitors could do better...

https://gitlab.com/gitlab-org/gitlab-runner/-/issues/2797

GitLab MR for the CACHE_COMPRESSION_LEVEL implementation

And in general just making caching stuff easier. I feel like it is unnecessarily complicated for example to cache apt-get in Gitlab which I assume makes most people not do it.

https://gitlab.com/gitlab-org/gitlab-runner/-/issues/991#not...

What's the difference between this and Git-LFS?

https://git-lfs.com/

It doesn't, since Git's data model has to be changed to content-defined chunks to solve the issue.

You should look at git-lfs[1] instead.

[1] https://git-lfs.com

Congrats on the HN launch. How does this improve or expand or blow git-lfs[1] out of the water because if I needed large blob file support it's what I would use instead. It offers pointers to the big files to the hosted git instead of pushing around the binaries itself -- though I am speculating since I've not used it myself just read about it online.

[1] https://git-lfs.com/

Specifics depend on project types, but literate programming[0] and using/enforcing coding/git/versioning standards helps. re: outdated responses -- email list for 'new/updated version available' with errata/change log location.

[0] : https://blog.bitsrc.io/literate-programming-a-radical-approa...

[1] : https://blog.codacy.com/coding-standards

[2] : https://github.com/git-lfs/git-lfs/blob/main/.github/workflo...

fine with layers: e.g., large binary files via git-lfs (https://git-lfs.com) and merge conflicts in non-textual files by custom merge resolvers like Unity’s (https://flashg.github.io/GitMerge-for-Unity/).

Perhaps in the future, almost everyone will keep using Git at the core, but have so many layers to make it more intuitive and provide better merges, that what they’re using barely resembles Git at all. This flexibility and the fact that nearly everything is designed for Git and integrates with Git, are why I doubt it’s ever going away.

Some alternatives for thought:

- pijul (https://pijul.org), a completely different VCS which allegedly has better merges/rebases. In beta, but I rarely hear about it nowadays and have heard more bad than good. I don’t think we can implement this alternate rebases in Git, but maybe we don’t need to; even after reading the website, I don’t understand why pijul’s merges are better, and in particular I can’t think of a concrete example nor does pijul provide one.

- Unison (https://www.unison-lang.org). This isn’t a VCS, but a language with a radical approach to code representation: instead of code being text stored in files, code is ASTs referenced by hash and stored in essentially a database. Among other advantages, the main one is that you can rename symbols and they will automatically propagate to dependencies, because the symbols are referenced by their hash instead of their name. I believe this automatic renaming will be common in the future, whether it’s implemented by a layer on top of Git or alternate code representation like Unison (to be clear, Unison’s codebases are designed to work with Git, and the Unison project itself is stored in Git repos).

- SVN, the other widespread VCS. Google or ask ChatGPT “Git vs SVN” and you’ll get answers like this (https://www.linode.com/docs/guides/svn-vs-git/, https://stackoverflow.com/a/875). Basically, SVN is easier to understand and handles large files better, Git is decentralized and more popular. But what about the differences which can’t be resolved by layers, like lazygit for intuition and git-lfs for large files? It seems to me like even companies with centralized private repositories use Git, meaning Git will probably win in the long term, but I don’t work at those companies so I don’t really know.

- Mercurial and Fossil, the other widespread VCSs. It seems these are more similar to Git and the main differences are in the low-level implementation (https://stackoverflow.com/a/892688, https://fossil-scm.org/home/doc/trunk/www/fossil-v-git.wiki#....). It actually seems like most people prefer Mercurial and Fossil over Git and would use them if they had the same popularity, or at least if they had Git’s popularity and Git had Mercury or Fossil’s. But again, these VCSs are so similar that with layers, you can probably create a Git experience which has their advantages and almost copies their UI.

> I don’t know what that is

its a standard output from `go doc`, rendered as HTML. if you dont recognize that, then you aren't really in a position to be commenting on the topic. nothing is stopping anyone from pinning to a tag:

https://github.com/git-lfs/git-lfs/tags

or even a commit and relying of a specific version of the software. yes upgrades might be painful but a module IS available.

# git push origin feature-branch /usr/bin/gh auth git-credential get: 1: /usr/bin/gh auth git-credential get: /usr/bin/gh: not found /usr/bin/gh auth git-credential store: 1: /usr/bin/gh auth git-credential store: /usr/bin/gh: not found Enumerating objects: 9228, done. Counting objects: 100% (7495/7495), done. Delta compression using up to 8 threads Compressing objects: 100% (2090/2090), done. Writing objects: 100% (6033/6033), 72.77 MiB | 7.39 MiB/s, done. Total 6033 (delta 4402), reused 5194 (delta 3616) remote: Resolving deltas: 100% (4402/4402), completed with 477 local objects. remote: error: Trace: c1c90b47a5483929dcdd8c974a6c7d0695e86f67f680d8b88b80ef1c1bce74a remote: error: See https://gh.io/lfs for more information. remote: error: File deployment_20200220.sql is 872.78 MB; this exceeds GitHub's file size limit of 100.00 MB remote: error: GH001: Large files detected. You may want to try Git Large File Storage - https://git-lfs.github.com. To https://github.com/my-org/my-project.git ! [remote rejected] rest-logging -> rest-logging (pre-receive hook declined) error: failed to push some refs to 'https://github.com/my-org/my-project.git'